Optimizing Automatic Text Classification Approach in Adaptive Online Collaborative Discussion-A Perspective of Attention Mechanism-Based Bi-LSTM

A text semantic classification is an essential approach to recognizing the verbal intention of online learners, empowering reliable understanding, and inquiry for the regulations of knowledge construction amongst students. However, online learning is increasingly switching from static watching patte...

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Veröffentlicht in:	IEEE Transactions on Learning Technologies 2023-10, Vol.16 (5), p.591-602
Hauptverfasser:	Zheng, Yafeng, Gao, Zhanghao, Shen, Jun, Zhai, Xuesong
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Artificial neural networks Attention Attention mechanism Behavior Patterns Classification Collaboration Computer Mediated Communication Context Cooperative Learning Deep learning Discussion Distance learning Electronic Learning Encoding Feature extraction Linguistic Input long short-term memory (LSTM) network Machine learning Neural networks online collaborative discussion Psychological Patterns Recurrent neural networks Semantics Semiotics Short Term Memory Task analysis Text categorization text classification
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